Physically based modelling of soil erosion induced by rainfall in small mountain basins

Cuomo, Sabatino; Sala, Maria Della; Novità, Antonio

doi:10.1016/j.geomorph.2015.04.019

Cited by 48 publications

(21 citation statements)

References 39 publications

(59 reference statements)

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“…Because LISEM is sensitive to Ψ 1 (Cuomo et al . , ; Hessel et al . , ), the constant value was carefully chosen and estimated with the pedotransfer function of Saxton and Rawls (). K sat1 and n for the plot margins, such as the road, buffer strip and ditch, were fixed over time (De Roo et al .…”

Section: Methodsmentioning

confidence: 99%

“…The estimation of soil moisture, K sat , and n requires external information (Berthet, Andreassian, Perrin, & Javelle, ; Tramblay et al . , ) or a calibration step for each rainfall–runoff event (Baartman, Jetten, Ritsema, & de Vente, ; Cuomo, Della Sala, & Novita, ; Kalantari et al . , ), which may jeopardize the predictive capacity of the model.…”

Section: Introductionmentioning

confidence: 99%

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Improving runoff prediction using agronomical information in a cropped, loess covered catchment

Lefrancq

Dijk²,

Jetten

et al. 2017

Hydrol. Process.

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Predicting runoff hot spots and hot‐moments within a headwater crop‐catchment is of the utmost importance to reduce adverse effects on aquatic ecosystems by adapting land use management to control runoff. Reliable predictions of runoff patterns during a crop growing season remain challenging. This is mainly due to the large spatial and temporal variations of topsoil hydraulic properties controlled by complex interactions between weather, growing vegetation, and cropping operations. This interaction can significantly modify runoff patterns and few process‐based models can integrate this evolution of topsoil properties during a crop growing season at the catchment scale. Therefore, the purpose of this study was to better constrain the event‐based hydrological model Limburg Soil Erosion Model by incorporating temporal constraints for input topsoil properties during a crop growing season (LISEM). The results of the temporal constraint strategy (TCS) were compared with a classical event per event calibration strategy (EES) using multi‐scale runoff information (from plot to catchment). The EES and TCS approaches were applied in a loess catchment of 47 ha located 30 km northeast of Strasbourg (Alsace, France). A slight decrease of the Nash–Sutcliffe efficiency criterion on runoff discharge for TCS compared to EES was counterbalanced by a clear improvement of the spatial runoff patterns within the catchment. This study showed that limited agronomical and climatic information added during the calibration step improved the spatial runoff predictions of an event‐based model. Reliable prediction of runoff source, connectivity, and dynamics can then be derived and discussed with stakeholders to identify runoff hot spots and hot‐moments for subsequent land use and crop management modifications.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improving runoff prediction using agronomical information in a cropped, loess covered catchment

Lefrancq

Dijk²,

Jetten

et al. 2017

Hydrol. Process.

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“…Water 2016, 8,528 3 of 17 that can be precisely adjusted by two flow meters. The experimental runoff trays mainly consist of iron trays and plastic containers.…”

Section: Experimental Equipmentmentioning

confidence: 99%

“…In contrast, the mobilization of solid particles is the result of overland flow. Thus, a major influence of slope on erosion appears to be exerted through its impact on runoff velocity [7,8] and sediment transport capacity of runoff has been reported to increase with increasing flow velocity [9]. Moreover, in rain impacted flows, detachment and transport processes are highly dependent on the dissipation of raindrop kinetic energy, and more of the raindrop energy is dissipated in the water layer as flow depth increases, leading to a decline in sediment concentration on gentle slopes [10].…”

Section: Introductionmentioning

confidence: 99%

Effect of Slope, Rainfall Intensity and Mulch on Erosion and Infiltration under Simulated Rain on Purple Soil of South-Western Sichuan Province, China

Khan

Gong

Ting-xing

et al. 2016

Water

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Purple soil is widely distributed in the hilly areas of the Sichuan basin, southwest China, and is highly susceptible to water erosion. The triggering of this process is related to slope, rainfall intensity and surface cover. Therefore, this study assesses the effects of different simulated rainfall intensities with different slopes on hydrological and erosional processes in un-mulched and mulched purple soils. Results show that the sediment and water losses increased with an increase of rainfall intensity and slope steepness. Generally, the slope contribution (Sc) on water and sediment losses decreased with increasing rainfall intensity and slope steepness under both un-mulched and mulched soil. In un-mulched conditions, water losses were independent of slope steepness (Sc < 50%) during the highest rainfall intensity. However, in mulched soil, the higher contributions of slope (Sc) and rainfall (Rc) were found for water and sediment losses, respectively, i.e., >50%, except during the increase in slope steepness from 15 • to 25 • under the highest rainfall intensity (120 mm·h −1 ). The effectiveness of mulch was more pronounced in reducing sediment losses (81%-100%) compared with water losses (14%-100%). The conservation effectiveness of mulch both decreased and increased with slope steepness for water and sediment losses, respectively, under higher rainfall intensities. Water infiltration and recharge coefficient (RC) decreased with an increase of slope steepness, while with an increase in rainfall intensity, the water infiltration and RC were increased and decreased, respectively, in both un-mulched and mulched soil. On the other hand, mulched soil maintained a significantly (α = 0.05) higher infiltration capacity and RC compared to that of the un-mulched soil.

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“…One can make different classifications of initiation mechanisms based on different viewpoints [1] It was among others [2][3], who stressed the importance of the infiltration capacity of the soil as a key factor for either the development of shallow landslides or surficial erosion and transport of material by overland flow that might create different types of flow like mass movements. We will use this hydrological classification principal in this paper and make a primary distinction between overland flow driven and infiltrating driven initiation mechanisms.…”

Section: Introductionmentioning

confidence: 99%

An 1-D Integrated Hydro-Mechanical Model to Unravel Different Hydrological Triggering Processes of Debris Flows

Asch¹,

Yu²,

Hu³

2018

Preprint

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Physically based modelling of soil erosion induced by rainfall in small mountain basins

Cited by 48 publications

References 39 publications

Improving runoff prediction using agronomical information in a cropped, loess covered catchment

Improving runoff prediction using agronomical information in a cropped, loess covered catchment

Effect of Slope, Rainfall Intensity and Mulch on Erosion and Infiltration under Simulated Rain on Purple Soil of South-Western Sichuan Province, China

An 1-D Integrated Hydro-Mechanical Model to Unravel Different Hydrological Triggering Processes of Debris Flows

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